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The mean-square optimization problem is stated for time-varying systems with nonstationary statistical input functions. Correlation functions are defined for nonstationary ensembles. The mean-square error is calculated in terms of these correlation functions. The integral equation defining the optimum system is determined by minimization of the mean-square error.
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Richard Booton (1952) studied this question.
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